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Google Professional Machine Learning Engineer Sample Questions (Q68-Q73):

NEW QUESTION # 68
You are designing an ML recommendation model for shoppers on your company's ecommerce website. You will use Recommendations Al to build, test, and deploy your system. How should you develop recommendations that increase revenue while following best practices?

A. Because it will take time to collect and record product data, use placeholder values for the product catalog to test the viability of the model.
B. Use the "Frequently Bought Together' recommendation type to increase the shopping cart size for each order.
C. Import your user events and then your product catalog to make sure you have the highest quality event stream
D. Use the "Other Products You May Like" recommendation type to increase the click-through rate

Answer: C

NEW QUESTION # 69
A trucking company is collecting live image data from its fleet of trucks across the globe. The data is growing rapidly and approximately 100 GB of new data is generated every day. The company wants to explore machine learning uses cases while ensuring the data is only accessible to specific IAM users.
Which storage option provides the most processing flexibility and will allow access control with IAM?

A. Configure Amazon EFS with IAM policies to make the data available to Amazon EC2 instances owned by the IAM users.
B. Use a database, such as Amazon DynamoDB, to store the images, and set the IAM policies to restrict access to only the desired IAM users.
C. Setup up Amazon EMR with Hadoop Distributed File System (HDFS) to store the files, and restrict access to the EMR instances using IAM policies.
D. Use an Amazon S3-backed data lake to store the raw images, and set up the permissions using bucket policies.

Answer: C

Explanation:
Explanation

NEW QUESTION # 70
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?

A. The true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is
13.12%
B. The true class frequency for Romance is 77.56% * 0.78 and the predicted class frequency for Adventure is
20.85%*0.32
C. The true class frequency for Romance is 0.78 and the predicted class frequency for Adventure is (0.47-
0.32)
D. The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is
20.85%

Answer: A

NEW QUESTION # 71
During batch training of a neural network, you notice that there is an oscillation in the loss. How should you adjust your model to ensure that it converges?

A. Decrease the learning rate hyperparameter
B. Increase the learning rate hyperparameter
C. Increase the size of the training batch
D. Decrease the size of the training batch

Answer: B

Explanation:
https://developers.google.com/machine-learning/crash-course/introduction-to-neural-networks/playground-exercises

NEW QUESTION # 72
A company uses a long short-term memory (LSTM) model to evaluate the risk factors of a particular energy sector. The model reviews multi-page text documents to analyze each sentence of the text and categorize it as either a potential risk or no risk. The model is not performing well, even though the Data Scientist has experimented with many different network structures and tuned the corresponding hyperparameters.
Which approach will provide the MAXIMUM performance boost?

A. Initialize the words by word2vec embeddings pretrained on a large collection of news articles related to the energy sector.
B. Initialize the words by term frequency-inverse document frequency (TF-IDF) vectors pretrained on a large collection of news articles related to the energy sector.
C. Use gated recurrent units (GRUs) instead of LSTM and run the training process until the validation loss stops decreasing.
D. Reduce the learning rate and run the training process until the training loss stops decreasing.

Answer: D

NEW QUESTION # 73
......

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